Ruobin Gong
Biographic Data
| ID | 5969034 |
|---|---|
| NAME | Ruobin Gong |
| GIVEN NAMES | Ruobin |
| FAMILY NAME | Gong |
| SIGNATURE | GONG R |
| AFFILIATIONS | Rutgers, the State University of New Jersey |
| ORCID | 0000-0003-2965-9266 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Informational richness and its impact on algorithmic fairness
Deceptive Credences
A familiar defense of Personalist or Subjective Bayesian theory is that, under a variety of sufficient conditions, asymptotically—with increasing shared evidence—almost surely, each non-extreme, countably additive Bayesian opinion, when updated by conditionalization, converges to certainty that is veridical about the truth/falsity of hypotheses of interest. Then, with probability 1 over possible evidential histories, personal probabilities track …
No prominent works on this page.
Deceptive Credences
A familiar defense of Personalist or Subjective Bayesian theory is that, under a variety of sufficient conditions, asymptotically—with increasing shared evidence—almost surely, each non-extreme, countably additive Bayesian opinion, when updated by conditionalization, converges to certainty that is veridical about the truth/falsity of hypotheses of interest. Then, with probability 1 over possible evidential histories, personal probabilities track …
Informational richness and its impact on algorithmic fairness
Computer Science (2 works) · Epistemology (2 works) · Mathematical economics (2 works) · Mathematics (2 works) · Algorithm (1 works) · Artificial Intelligence (1 works) · Bayesian Modeling and Causal Inference (1 works) · Bayesian probability (1 works) · Centrality (1 works) · Certainty (1 works)